Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review
Chen, Zhiyi, Liu, Xuerong, Yang, Qingwu, Wang, Yan-Jiang, Miao, Kuan, Gong, Zheng, Yu, Yang, Leonov, Artemiy +3 more·2023·JAMA Network Open
Cites (614)
Items 201–400 of 572
- Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorderXuan Bu, Xinyu Hu, Lianqing Zhang, Bin Li, Ming Zhou, Lu Lu, Xiaoxiao Hu, Hailong Li, Yanchun Yang, Wanjie Tang et al. · 2019 · Translational Psychiatry
- Abnormal regional homogeneity as a potential imaging biomarker for adolescent-onset schizophrenia: A resting-state fMRI study and support vector machine analysisShuai Wang, Yan Zhang, Luxian Lv, Renrong Wu, Xiaoduo Fan, Jingping Zhao, Wenbin Guo · 2017 · Schizophrenia Research
- Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRINan Wang, Dongren Yao, Lizhuang Ma, Mingxia Liu · 2021 · Medical Image Analysis
- Extracting biomarkers of autism from MEG resting-state functional connectivity networksVassilis Tsiaras, Panagiotis G. Simos, Roozbeh Rezaie, Bhavin R. Sheth, Eleftherios Garyfallidis, Eduardo M. Castillo, Andrew C. Papanicolaou · 2011 · Computers in Biology and Medicine
- Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patientsKuldeep Singh, Sukhjeet Singh, Jyoteesh Malhotra · 2020 · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
- Automated detection of schizophrenia using optimal wavelet-based $$l_1$$ norm features extracted from single-channel EEGManish Dev Sharma, U. Rajendra Acharya · 2021 · Cognitive Neurodynamics
- Functional connectivity of major depression disorder using ongoing EEG during music perceptionWenya Liu, Chi Zhang, Xiaoyu Wang, Jing Xu, Yi Chang, Tapani Ristaniemi, Fengyu Cong · 2020 · Clinical Neurophysiology
- Identifying Individuals with Antisocial Personality Disorder Using Resting-State fMRIYan Tang, Weixiong Jiang, Jian Liao, Wei Wang, Aijing Luo · 2013 · PLoS ONE
- Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: A support vector machine learning approachIan C. Gould, Alana M. Shepherd, Kristin R. Laurens, Murray J. Cairns, Vaughan J. Carr, Melissa J. Green · 2014 · NeuroImage Clinical
- ADHD classification by a texture analysis of anatomical brain MRI dataChe-Wei Chang, Chien‐Chang Ho, Jyh‐Horng Chen · 2012 · Frontiers in Systems Neuroscience
- Use of deep learning to detect personalized spatial-frequency abnormalities in EEGs of children with ADHDHe Chen, Yan Song, Xiaoli Li A · 2019 · Journal of Neural Engineering
- Generalizable brain network markers of major depressive disorder across multiple imaging sitesAyumu Yamashita, Yuki Sakai, Takashi Yamada, Noriaki Yahata, Akira Kunimatsu, Naohiro Okada, Takashi Itahashi, Ryuichiro Hashimoto, Hiroto Mizuta, Naho Ichikawa et al. · 2020 · PLoS Biology
- Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning MachineMuhammad Naveed Iqbal Qureshi, Jooyoung Oh, Dongrae Cho, Hang Joon Jo, Boreom Lee · 2017 · Frontiers in Neuroinformatics
- Support vector machine-based classification of first episode drug-naïve schizophrenia patients and healthy controls using structural MRIYuan Xiao, Zhihan Yan, Youjin Zhao, Tao Bo, Huaiqiang Sun, Fei Yue Li, Yao Li, Wenjing Zhang, Chandan Shah, Jieke Liu et al. · 2017 · Schizophrenia Research
- Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural NetworksMaryam Akhavan Aghdam, Arash Sharifi, Mir Mohsen Pedram · 2019 · Journal of Imaging Informatics in Medicine
- Single Volume Image Generator and Deep Learning-Based ASD ClassificationMd Rishad Ahmed, Yuan Zhang, Omer T. Inan, Hongen Liao · 2020 · IEEE Journal of Biomedical and Health Informatics
- Machine learning prediction models in orthopedic surgery: A systematic review in transparent reportingOlivier Quinten Groot, Paul T. Ogink, Amanda Lans, Peter K. Twining, Neal D. Kapoor, William DiGiovanni, Bas J. J. Bindels, Michiel E. R. Bongers, Jacobien H. F. Oosterhoff, Aditya V. Karhade et al. · 2021 · Journal of Orthopaedic Research®
- Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depressionJanaı́na Mourão-Miranda, Jorge Almeida, Stefanie Hassel, Letícia Oliveira, Amelia Versace, André F. Marquand, João Ricardo Sato, Michael John Brammer, Mary Louise Phillips · 2012 · Bipolar Disorders
- Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset studyJulie L. Winterburn, Aristotle N. Voineskos, Gabriel A. Devenyi, Eric Plitman, Camilo de la Fuente‐Sandoval, Nikhil Bhagwat, Ariel Graff‐Guerrero, Jo Knight, M. Mallar Chakravarty · 2017 · Schizophrenia Research
- Machine learning multivariate pattern analysis predicts classification of posttraumatic stress disorder and its dissociative subtype: a multimodal neuroimaging approachNicholson, Andrew A., Densmore, Maria, McKinnon, Margaret C., Neufeld, Richard W.J., Frewen, Paul A., Théberge, Jean, Jetly, Rakesh, Richardson, J. Donald, Lanius, Ruth A. · 2019 · Psychological Medicine
- A hybrid decision support system for automatic detection of Schizophrenia using EEG signalsSmith K. Khare, Varun Bajaj · 2021 · Computers in Biology and Medicine
- Classifying social anxiety disorder using multivoxel pattern analyses of brain function and structureAndreas Frick, Malin Gingnell, André F. Marquand, Katarina Howner, Håkan Fischer, Marianne Kristiansson, Steven Williams, Mats Fredrikson, Tomas Furmark · 2013 · Behavioural Brain Research
- Translational machine learning for psychiatric neuroimagingMartin Walter, Sarah Alizadeh, Hamidreza Jamalabadi, Ulrike Lueken, Udo Dannlowski, Henrik Walter, Sebastian Olbrich, Lejla Čolić, Joseph P. Kambeitz, Nikolaos Koutsouleris et al. · 2018 · Progress in Neuro-Psychopharmacology and Biological Psychiatry
- An EEG-based machine learning method to screen alcohol use disorderWajid Mumtaz, Pham Lam Vuong, Likun Xia, Aamir Saeed Malik, Rusdi Bin Abd Rashid · 2016 · Cognitive Neurodynamics
- Random forest based classification of alcohol dependence patients and healthy controls using resting state MRIXi Zhu, Xiaofei Du, Mike Kerich, Falk W. Lohoff, Reza Momenan · 2018 · Neuroscience Letters
- Supervised machine learning for diagnostic classification from large-scale neuroimaging datasetsPradyumna Lanka, D. Rangaprakash, Michael N. Dretsch, Jeffrey S. Katz, Thomas S. Denney, Gopikrishna Deshpande · 2019 · Brain Imaging and Behavior
- Convergent and Divergent Functional Connectivity Patterns in Schizophrenia and DepressionYang Yu, Hui Shen, Ling‐Li Zeng, Qiongmin Ma, Dewen Hu · 2013 · PLoS ONE
- DISCRIMINATION OF SCHIZOPHRENIA AUDITORY HALLUCINATORS BY MACHINE LEARNING OF RESTING-STATE FUNCTIONAL MRIDarya Chyzhyk, M. Graña, D. Öngür, A. Shinn · 2015 · International Journal of Neural Systems
- Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive‐compulsive disorderFei Yue Li, Xiaoqi Huang, Wanjie Tang, Yanchun Yang, Bin Li, Graham John Kemp, Andrea Mechelli, Qiyong Gong · 2013 · Human Brain Mapping
- Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRIMuhammad Naveed Iqbal Qureshi, Jooyoung Oh, Beomjun Min, Hang Joon Jo, Boreom Lee · 2017 · Frontiers in Human Neuroscience
- Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning ApproachBaoyu Yan, Xiaopan Xu, Mengwan Liu, Kaizhong Zheng, Jian Liu, Jianming Li, Wei Lei, Binjie Zhang, Hongbing Lu, Baojuan Li A · 2020 · Frontiers in Neuroscience
- Using resting state functional MRI to build a personalized autism diagnosis systemOmar Dekhil, Hassan Hajjdiab, Ahmed M. Shalaby, Mohamed Talaat Ali, Babajide Odunitan Ayinde, Andy Switala, Aliaa Elshamekh, Mohammed Asaad Ghazal, Robert S. Keynton, Gregory Neal Barnes et al. · 2018 · PLoS ONE
- Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imagingIannaccone, Reto, Hauser, Tobias U., Ball, Juliane, Brandeis, Daniel, Walitza, Susanne, Brem, Silvia · 2015 · European Child & Adolescent Psychiatry
- Evaluation of Pattern Recognition and Feature Extraction Methods in ADHD PredictionJoão Ricardo Sato, Marcelo Q. Hoexter, André Fujita, Luís Augusto Rohde · 2012 · Frontiers in Systems Neuroscience
- Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophreniaEduardo Castro, Manel Martínez‐Ramón, Godfrey D. Pearlson, Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Vince D. Calhoun · 2011 · NeuroImage
- Functional brain dynamic analysis of ADHD and control children using nonlinear dynamical features of EEG signalsShiva Khoshnoud, Mohammad Ali Nazari, Mousa Shamsi · 2017 · Journal of Integrative Neuroscience
- Aberrant Functional Network Connectivity as a Biomarker of Generalized Anxiety DisorderJian-Ping Qiao, Anning Li, Chongfeng Cao, Zhi-Shun Wang, Jian-De Sun, Guangrun Xu · 2017 · Frontiers in Human Neuroscience
- Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualizationKanghan Oh, Woo‐Sung Kim, Guangfan Shen, Yan Hong Piao, Nam‐In Kang, Il-Seok Oh, Young‐Chul Chung · 2019 · Schizophrenia Research
- Multisite Autism Spectrum Disorder Classification Using Convolutional Neural Network Classifier and Individual Morphological Brain NetworksJingjing Gao, Mingren Chen, Yuanyuan Li, Ya-Chun Gao, Yanling Li, Shi‐Min Cai, Jiaojian Wang · 2021 · Frontiers in Neuroscience
- Resting-State Connectivity Biomarkers of Cognitive Performance and Social Function in Individuals With Schizophrenia Spectrum Disorder and Healthy Control SubjectsJoseph D. Viviano, Robert W. Buchanan, Navona Calarco, James M. Gold, George Foussias, Nikhil Bhagwat, Laura Stefanik, Colin S. Hawco, Pamela DeRosse, Miklós Árgyelán et al. · 2018 · Biological Psychiatry
- Structural MRI-Based Predictions in Patients with Treatment-Refractory Depression (TRD)Blair A. Johnston, J. Douglas Steele, Serenella Tolomeo, David M. Christmas, Keith Matthews · 2015 · PLoS ONE
- Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosisYalin Wang, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, Paul M. Thompson · 2013 · NeuroImage
- Slower Binocular Rivalry in the Autistic BrainAlina C. Spiegel, Jeff Mentch, Amanda J. Haskins, Caroline Elizabeth Robertson · 2019 · Current Biology
- Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imagingSofia Zahia, Begonya García-Zapirain, Ibone Saralegui Prieto, B. Fernández-Ruanova · 2020 · Computer Methods and Programs in Biomedicine
- Multi-parameter machine learning approach to the neuroanatomical basis of developmental dyslexiaP. Płoński, Wojciech Gradkowski, Irène Altarelli, Karla Monzalvo, Muna van Ermingen‐Marbach, Marion Grande, Stefan Heim, Artur Marchewka, Piotr Bogorodzki, Franck Ramus et al. · 2016 · Human Brain Mapping
- Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional ConnectivityXiang-Fei GENG, Junhai Xu, Baolin Liu, Yonggang Shi · 2018 · Frontiers in Neuroscience
- Multimodal neuroimaging-based prediction of adult outcomes in childhood-onset ADHD using ensemble learning techniquesYuyang Luo, Tara L. Alvarez, Jeffrey M. Halperin, Xiaobo Li · 2020 · NeuroImage Clinical
- Deep-Asymmetry: Asymmetry Matrix Image for Deep Learning Method in Pre-Screening DepressionKang, Min, Kwon, Hyunjin, Park, Jin-Hyeok, Kang, Seokhwan, Lee, Youngho · 2020 · Sensors
- Accuracy of automated classification of major depressive disorder as a function of symptom severityRajamannar Ramasubbu, Matthew Brown, Filomeno Cortese, Ismael Gaxiola‐Valdez, Bradley Gordon Goodyear, Andrew James Greenshaw, Serdar Murat Dursun, Russell Greiner · 2016 · NeuroImage Clinical
- An Autoencoder-Based Deep Learning Classifier for Efficient Diagnosis of AutismHarshini Sewani, Rasha F. Kashef · 2020 · Children
- Decision Support Algorithm for Diagnosis of ADHD Using ElectroencephalogramsBerdakh Abibullaev, Jinung An · 2011 · Journal of Medical Systems
- Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI DatasetTao Zhang, Cunbo Li, Peiyang Li, Yueheng Peng, Xiaodong Kang, Chenyang Jiang, Fali Li, Xuyang Zhu, Dezhong Yao, Bharat B. Biswal et al. · 2020 · Entropy
- Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics StrategyLong‐Biao Cui, Lin Liu, Huaning Wang, Liuxian Wang, Fan Guo, Yibin Xi, Tingting Liu, Chen Li, Ping Tian, Kang Liu et al. · 2018 · Schizophrenia Bulletin
- Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorderDavid M. Schnyer, Peter C. Clasen, Christopher E. Gonzalez, Christopher G. Beevers · 2017 · Psychiatry Research Neuroimaging
- Classifying Major Depressive Disorder Using fNIRS During Motor RehabilitationYibo Zhu, Jagadish Kumaran Jayagopal, Ranjana K. Mehta, Madhav Erraguntla, Joseph K. Nuamah, Anthony D. McDonald, Heather B. Taylor, Shuo‐Hsiu Chang · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Deep Spatio-Temporal Representation and Ensemble Classification for Attention Deficit/Hyperactivity DisorderShuaiqi Liu, Ling Zhao, Xu Wang, Xin Qi, Jie Zhao, David S. Guttery, Yudong Zhang · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Detecting brain structural changes as biomarker from magnetic resonance images using a local feature based SVM approachYe Chen, Judd M. Storrs, Lirong Tan, Lawrence J. Mazlack, J. H. Lee, Long Jason Lu · 2013 · Journal of Neuroscience Methods
- Nodal centrality of functional network in the differentiation of schizophreniaHu Cheng, Sharlene D. Newman, Joaquín Goñi, Jerillyn S. Kent, Josselyn M. Howell, Amanda R. Bolbecker, Aina Puce, Brian F. O’Donnell, William P. Hetrick · 2015 · Schizophrenia Research
- Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disordersJianlong Zhao, Jinjie Huang, Dongmei Zhi, Weizheng Yan, Xiaohong Ma, Xiao Yang, Xianbin Li, Qing Ke, Tianzi Jiang, Vince D. Calhoun et al. · 2020 · Journal of Neuroscience Methods
- Shared atypical default mode and salience network functional connectivity between autism and schizophreniaHeng Chen, Lucina Q. Uddin, Xujun Duan, Junjie Zheng, Zhiliang Long, Youxue Zhang, Xiaonan Guo, Yan Zhang, Jingping Zhao, Huafu Chen · 2017 · Autism Research
- Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networksSheeba J. Sujit, Ivan Coronado, Arash Kamali, Ponnada A. Narayana, Refaat E. Gabr · 2019 · Journal of Magnetic Resonance Imaging
- Functional connectivity networks in the autistic and healthy brain assessed using Granger causalityLuca Pollonini, Udit Patidar, Ning Situ, Roozbeh Rezaie, Andrew C. Papanicolaou, George Zouridakis · 2010 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional ConnectivityYu Takagi, Yuki Sakai, Giuseppe Lisi, Noriaki Yahata, Yoshinari Abe, Seiji Nishida, Takashi Nakamae, Jun Morimoto, Mitsuo Kawato, Jin Narumoto et al. · 2017 · Scientific Reports
- ADHD classification by dual subspace learning using resting-state functional connectivityYing Chen, Yibin Tang, Chun Wang, Xiaofeng Liu, Zhao Li, Zhishun Wang · 2020 · Artificial Intelligence in Medicine
- Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other TasksMatthew Leming, J. M. Górriz, John Suckling A · 2020 · International Journal of Neural Systems
- Differential association of default mode network connectivity and rumination in healthy individuals and remitted MDD patientsGiannis Lois, Michèle Wessa · 2016 · Social Cognitive and Affective Neuroscience
- Diagnostic model generated by MRI‐derived brain features in toddlers with autism spectrum disorderXiang Xiao, Hui Fang, Jiansheng Wu, Chaoyong Xiao, Ting Xiao, Lu Qian, Fengjing Liang, Xiao Zhou, Kangkang Chu, Xiaoyan Ke · 2016 · Autism Research
- An EEG-based functional connectivity measure for automatic detection of alcohol use disorderWajid Mumtaz, Mohamad Naufal bin Mohamad Saad, Nidal Kamel, Syed Saad Azhar Ali, Aamir Saeed Malik · 2017 · Artificial Intelligence in Medicine
- Attentional Connectivity-based Prediction of Autism Using Heterogeneous rs-fMRI Data from CC200 AtlasYaya Liu, Lingyu Xu, Jun Li, Jie Yu, Xuan Yu · 2020 · Experimental Neurobiology
- Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discriminationEsmée Venema, Benjamin S. Wessler, Jessica K. Paulus, Rehab Salah, Gowri Raman, Lester Y. Leung, Benjamin C. Koethe, Jason Nelson, Jinny G. Park, David V. Klaveren et al. · 2021 · Journal of Clinical Epidemiology
- EEG/ERP-based biomarker/neuroalgorithms in adults with ADHD: Development, reliability, and application in clinical practiceAndreas Felix Müller, Sarah Vetsch, Ilia Pershin, Gian Candrian, Gian-Marco Baschera, Juri D. Kropotov, Johannes Kasper, Hossam Abdel Rehim, Dominique Eich · 2019 · The World Journal of Biological Psychiatry
- Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniquesHao Li, Liqian Cui, Liping Cao, Yizhi Zhang, Yueheng Liu, Wenhao Deng, Wenjin Zhou · 2020 · BMC Psychiatry
- IEEE Journal of Translational Engineering in Health and Medicine2023 · IEEE Journal of Translational Engineering in Health and Medicine
- Multikernel Capsule Network for Schizophrenia IdentificationWang, Tian, Bezerianos, Anastasios, Cichocki, Andrzej, Li, Junhua · 2022 · IEEE Transactions on Cybernetics
- White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning ModelsSeyedmehdi Payabvash, Eva M. Palacios, Julia P. Owen, Maxwell B. Wang, Teresa Tavassoli, Molly Rae Gerdes, Anne N. Brandes-Aitken, DANIEL J. CUNEO, Elysa J. Marco, Pratik Mukherjee · 2019 · Brain Connectivity
- Functional connectivity-based signatures of schizophrenia revealed by multiclass pattern analysis of resting-state fMRI from schizophrenic patients and their healthy siblingsYang Yu, Hui Shen, Huiran Zhang, Ling‐Li Zeng, Zhimin Xue, Dewen Hu · 2013 · BioMedical Engineering OnLine
- Diagnosing schizophrenia with network analysis and a machine learning methodYoung Tak Jo, Sung Woo Joo, Seung‐Hyun Shon, Harin Kim, Yangsik Kim, Jung Sun Lee · 2020 · International Journal of Methods in Psychiatric Research
- Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary studyMaryam Rezaeezadeh, Sina Shamekhi, Mousa Shamsi · 2020 · Physical and Engineering Sciences in Medicine
- Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural NetworksMengjiao Hu, Xing Qian, Siwei Liu, Amelia Jialing Koh, Kang Sim, Xudong Jiang, Cuntai Guan, Juan Helen Zhou · 2021 · Schizophrenia Research
- GAT-LI: a graph attention network based learning and interpreting method for functional brain network classificationJinlong Hu, Lijie Cao, Tenghui Li, Shoubin Dong, Ping Li · 2021 · BMC Bioinformatics
- Classification of schizophrenia using feature-based morphometryUmberto Castellani, E. Rossato, Vittorio Murino, Marcella Bellani, Gianluca Rambaldelli, Cinzia Perlini, Luisa Tomelleri, Michele Tansella, Paolo Brambilla · 2011 · Journal of Neural Transmission
- Applied Machine Learning Method to Predict Children With ADHD Using Prefrontal Cortex Activity: A Multicenter Study in JapanAkira Yasumura, Mikimasa Omori, Ayako Fukuda, Junichi Takahashi, Yukiko Yasumura, Eiji Nakagawa, Toshihide Koike, Yushiro Yamashita, Tasuku Miyajima, Tatsuya Koeda et al. · 2017 · Journal of Attention Disorders
- Multivariate Machine Learning Analyses in Identification of Major Depressive Disorder Using Resting-State Functional Connectivity: A Multicentral StudyYachen Shi, Linhai Zhang, Zan Wang, Xiang Lu, Tao Wang, Deyu Zhou, Zhijun Zhang · 2021 · ACS Chemical Neuroscience
- ADHD classification using auto-encoding neural network and binary hypothesis testingYibin Tang, Jia Sun, Chun Wang, Yuan Zhong, Aimin Jiang, Gang Liu, Xiaofeng Liu · 2021 · Artificial Intelligence in Medicine
- Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learningMustafa Tosun · 2021 · Physical and Engineering Sciences in Medicine
- Abnormal neural activity as a potential biomarker for drug-naive first-episode adolescent-onset schizophrenia with coherence regional homogeneity and support vector machine analysesYi Liu, Yan Zhang, Luxian Lv, Renrong Wu, Jingping Zhao, Wenbin Guo · 2017 · Schizophrenia Research
- Cortical thickness patterns as state biomarker of anorexia nervosaLuca Lavagnino, Benson Mwangi, Bo Cao, Megan E. Shott, Jair C. Soares, Guido Frank · 2018 · International Journal of Eating Disorders
- TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder DiagnosisLanting Li, Hao Jiang, Guangqi Wen, Peng Cao, XU Ming-yi, Xiaoli Liu, Jinzhu Yang, Osmar R. Zai͏̈ane · 2021 · Neuroinformatics
- Decreased interhemispheric functional connectivity rather than corpus callosum volume as a potential biomarker for autism spectrum disorderQin Li, Benjamin Becker, Xi Jiang, Zhiying Zhao, Qiong Zhang, Shuxia Yao, Keith Maurice Kendrick · 2019 · Cortex
- Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysisLuigi A. Maglanoc, Tobias Kaufmann, Rune Jonassen, Eva Hilland, Dani Beck, Nils Inge Landrø, Lars Tjelta Westlye · 2019 · Human Brain Mapping
- Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controlsZhuangzhuang Li, Wenmei Li, Yan Wei, Guan Gui, Rongrong Zhang, Haiyan Liu, Yu‐Chen Chen, Yiqiu Jiang · 2021 · Computerized Medical Imaging and Graphics
- Detection of ADHD From EEG Signals Using Different Entropy Measures and ANNR. Catherine Joy, Selvaraj Thomas George, A. Albert Rajan, M. S. P. Subathra · 2021 · Clinical EEG and Neuroscience
- Prefrontal activation during inhibitory control measured by near-infrared spectroscopy for differentiating between autism spectrum disorders and attention deficit hyperactivity disorder in adultsAyaka Ishii‐Takahashi, Ryu Takizawa, Yukika Nishimura, Yuki Kawakubo, Hitoshi Kuwabara, Junko Matsubayashi, Kasumi Hamada, Shiho Okuhata, Noriaki Yahata, Takashi Igarashi et al. · 2013 · NeuroImage Clinical
- Dynamic functional–structural coupling within acute functional state change phases: Evidence from a depression recognition studyKun Bi, Lingling Hua, Maobin Wei, Jiaolong Qin, Qing Lü, Zhijian Yao · 2015 · Journal of Affective Disorders
- Connectivity of the anterior insula differentiates participants with first-episode schizophrenia spectrum disorders from controls: a machine- learning studyMikolas, P., Melicher, T., Skoch, A., Matejka, M., Slovakova, A., Bakstein, E., Hajek, T., Spaniel, F. · 2016 · Psychological Medicine
- Whole-brain resting-state functional connectivity identified major depressive disorder: A multivariate pattern analysis in two independent samplesXue Bing Zhong, Huqing Shi, Qingsen Ming, Daifeng Dong, Xiaocui Zhang, Ling‐Li Zeng, Shuqiao Yao · 2017 · Journal of Affective Disorders
- Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive DisorderKoji Matsuo, Kenichiro Harada, Yusuke Fujita, Yasumasa Okamoto, Miho Ota, Hisashi Narita, Benson Mwangi, Carlos A Gutierrez, Go Okada, Masahiro Takamura et al. · 2017 · Cerebral Cortex
- Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivityPierre Orban, Christian L. Dansereau, Laurence Desbois, Violaine Mongeau‐Pérusse, Charles‐Édouard Giguère, Hien D. Nguyen, Adrianna Mendrek, Émmanuel Stip, Pierre Bellec · 2017 · Schizophrenia Research
- Phase Space Reconstruction of EEG Signals for Classification of ADHD and Control AdultsSimranjit Kaur, Sukhwinder Singh, Priti Arun, Damanjeet Kaur, Manoj Kumar Bajaj · 2019 · Clinical EEG and Neuroscience
- Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approachSivan Kinreich, Vivia V. McCutcheon, Fazil Alıev, Jacquelyn Leigh Meyers, Chella Kamarajan, Ashwini Kumar Pandey, David Balin Chorlian, Jian Zhang, Weipeng Kuang, Gayathri Pandey et al. · 2021 · Translational Psychiatry
- Shared and distinct resting functional connectivity in children and adults with attention-deficit/hyperactivity disorderXiaojie Guo, Dongren Yao, Qingjiu Cao, Lu Liu, Qihua Zhao, Hui Li, Fang Huang, Yanfei Wang, Qiujin Qian, Yufeng Wang et al. · 2020 · Translational Psychiatry
- Screening of autism based on task-free fMRI using graph theoretical approachMasoumeh Sadeghi, Reza Khosrowabadi, Fatemeh Bakouie, Hoda Mahdavi, Changiz Eslahchi, Hamidreza Pouretemad · 2017 · Psychiatry Research Neuroimaging
- Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptomsHanni S. M. Kiiski, Laura M. Rueda‐Delgado, Marc Bennett, Rachel Knight, Laura A. Rai, Darren William Roddy, Katie Grogan, Jessica Bramham, Clare A. M. Kelly, Robert Whelan · 2019 · Clinical Neurophysiology
- Aberrant functional connectivity for diagnosis of major depressive disorder: A discriminant analysisLonglong Cao, Shuixia Guo, Zhimin Xue, Yong Hu, Haihong Liu, Tumbwene Elieza Mwansisya, Weidan Pu, Bo Yang, Chang Liu, Jianfeng Feng et al. · 2013 · Psychiatry and Clinical Neurosciences
- Gray Matter Alterations in Young Children with Autism Spectrum Disorders: Comparing Morphometry at the Voxel and Regional LevelIlaria Gori, Alessia Giuliano, Filippo Muratori, Irene Saviozzi, P. Oliva, Raffaella Tancredi, Angela Cosenza, Michela Tosetti, Sara Calderoni, Alessandra Retico · 2015 · Journal of Neuroimaging
- Diagnostic Classification of Schizophrenia Patients on the Basis of Regional Reward-Related fMRI Signal PatternsStefan Koch, Claudia Hägele, John–Dylan Haynes, Andreas Heinz, Florian Schlagenhauf, Philipp Sterzer · 2015 · PLoS ONE
- Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCAJunqiang Du, Lipeng Wang, Biao Jie, Dao-Qiang Zhang · 2016 · Comput. Medical Imaging Graph.
- A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorderJessica S. Yu, Albert Xue, Eva E. Redei, Neda Bagheri · 2016 · Translational Psychiatry
- Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVMHong Song, Lei Chen, RuiQi Gao, Iordachescu Ilie Mihaita Bogdan, Jian Yang, Shuliang Wang, Wentian Dong, Wenxiang Quan, Weimin Dang, Xin Yu · 2017 · BMC Medical Informatics and Decision Making
- Surface-based shared and distinct resting functional connectivity in attention-deficit hyperactivity disorder and autism spectrum disorderMinyoung Jung, Yiheng Tu, Joel Park, Kristen Jorgenson, Courtney Lang, Wenwen Song, Jian Kong · 2018 · The British Journal of Psychiatry
- Prediction in Autism by Deep Learning Short-Time Spontaneous Hemodynamic FluctuationsLingyu Xu, Xiulin Geng, Xiaoyu He, Jun Li, Jie Yu · 2019 · Frontiers in Neuroscience
- Differences in atypical resting-state effective connectivity distinguish autism from schizophreniaDana Mastrovito, Catherine Hanson, Stephen José Hanson · 2018 · NeuroImage Clinical
- Diagnosis of autism spectrum disorder based on complex network featuresGhasem Sadeghi Bajestani, Mahboobe Behrooz, Adel Ghazi Khani, Mostafa Nouri-Baygi, Ali Mollaei · 2019 · Computer Methods and Programs in Biomedicine
- Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordingsQing Lü, Kun Bi, Chu Liu, Guoping Luo, Hao Tang, Zhijian Yao · 2013 · Brain Research
- Classification of ADHD and BMD patients using visual evoked potentialAdeleh Dehghani, Reza Boostani, Somayeh Afrasiabi, Khadijeh Sadatnezhad · 2013 · Clinical Neurology and Neurosurgery
- Classification of Adolescent Major Depressive Disorder Via Static and Dynamic ConnectivityBhaskar Sen, Kathryn Regan Cullen, Keshab K. Parhi · 2020 · IEEE Journal of Biomedical and Health Informatics
- A self-learned decomposition and classification model for schizophrenia diagnosisSmith K. Khare, Varun Bajaj · 2021 · Computer Methods and Programs in Biomedicine
- Exploiting the brain's network structure in identifying ADHD subjectsSoumyabrata Dey, A. Ravishankar Rao, Mubarak A. Shah · 2012 · Frontiers in Systems Neuroscience
- Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single VendorJonathan Lu, Alison Callahan, Birju Patel, Keith Morse, Dev Dash, Michael A. Pfeffer, Nigam Haresh Shah · 2022 · JAMA Network Open
- Grey matter volume patterns in thalamic nuclei are associated with familial risk for schizophreniaGiulio Pergola, Silvestro Trizio, Pasquale Di Carlo, Paolo Taurisano, Marina Mancini, Nicola Amoroso, Maria Antonietta Nettis, Ileana Andriola, Grazia Caforio, Teresa Popolizio et al. · 2016 · Schizophrenia Research
- Enhancing the representation of functional connectivity networks by fusing multi‐view information for autism spectrum disorder diagnosisHuifang Huang, Xingdan Liu, Yan Jin, Seong–Whan Lee, Chong-yaw Wee A, Dinggang G. Shen · 2018 · Human Brain Mapping
- Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorderSarah Itani, Mandy Rossignol, Fabian Lecron, Philippe Fortemps · 2019 · PLoS ONE
- A novel approach for automated alcoholism detection using Fourier decomposition methodVirender Kumar Mehla, Amit Singhal, Pushpendra Singh · 2020 · Journal of Neuroscience Methods
- Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time seriesWeizheng Yan, Min Zhao, Zening Fu, Godfrey D. Pearlson, Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Vince D. Calhoun · 2021 · Schizophrenia Research
- Robust features for the automatic identification of autism spectrum disorder in childrenJustin Eldridge, Alison Elizabeth Lane, Mikhail Belkin, Simon John Dennis · 2014 · Journal of Neurodevelopmental Disorders
- Multi-center machine learning in imaging psychiatry: A meta-model approachPetr Dluhoš, Daniel Schwarz, Wiepke Cahn, Neeltje E.M. van Haren, René S. Kahn, Filip Španiel, Jiřı́ Horáček, Tomáš Kašpárek, Hugo Gerard Schnack · 2017 · NeuroImage
- Functional, Anatomical, and Morphological Networks Highlight the Role of Basal Ganglia–Thalamus–Cortex Circuits in SchizophreniaWei Dong Zhao, Shuixia Guo, Zeqiang Linli, Albert C. Yang, Ching‐Po Lin, Shih‐Jen Tsai · 2019 · Schizophrenia Bulletin
- A Multichannel Deep Neural Network Model Analyzing Multiscale Functional Brain Connectome Data for Attention Deficit Hyperactivity Disorder DetectionMing Chen, Hailong Li, Jing‐Hua Wang, Jonathan R. Dillman, Nehal A. Parikh, Lili He · 2019 · Radiology Artificial Intelligence
- Multivariate pattern analysis of obsessive–compulsive disorder using structural neuroanatomyXinyu Hu, Qi Liu, Bin Li, Wanjie Tang, Huaiqiang Sun, Fei Yue Li, Yanchun Yang, Qiyong Gong, Xiaoqi Huang · 2015 · European Neuropsychopharmacology
- Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain MorphometryKatuwal, Gajendra J., Baum, Stefi A., Cahill, Nathan D., Michael, Andrew M. · 2016 · PLOS ONE
- Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropyPavol Mikoláš, Jaroslav Hlinka, Antonín Škoch, Zbyněk Pitra, Thomas Frodl, Filip Španiel, Tomáš Hájek · 2018 · BMC Psychiatry
- The Importance of Anti-correlations in Graph Theory Based Classification of Autism Spectrum DisorderAmirali Kazeminejad, Roberto Carlos Sotero · 2020 · Frontiers in Neuroscience
- Temporal variability of regional intrinsic neural activity in drug‐naïve patients with obsessive–compulsive disorderJing Liu, Xuan Bu, Xinyu Hu, Hailong Li, Lingxiao Cao, Yingxue Gao, Kaili Liang, Lianqing Zhang, Lu Lu, Xinyue Hu et al. · 2021 · Human Brain Mapping
- Non-negative discriminative brain functional connectivity for identifying schizophrenia on resting-state fMRIQi Zhu, Jiashuang Huang, Xijia Xu · 2018 · BioMedical Engineering OnLine
- Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting‐state fMRIReagan R. Wetherill, Hengyi Rao, Nathan Hager, Jieqiong Wang, Teresa R. Franklin, Yong Fan A · 2018 · Addiction Biology
- Development and evaluation of a multimodal marker of major depressive disorderJie Yang, Mengru Zhang, Hongshik Ahn, Qing Zhang, Tony B. Jin, Ien Li, Matthew David Nemesure, Nandita Joshi, Haoran Jiang, Jeffrey Morris Miller et al. · 2018 · Human Brain Mapping
- Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivityXun‐Heng Wang, Yun Jiao, Lihua Li · 2018 · Scientific Reports
- Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 featuresMiseon Shim, Min Jin Jin, Chang‐Hwan Im, Seung‐Hwan Lee · 2019 · NeuroImage Clinical
- Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signalsSmith K. Khare, Varun Bajaj, Siuly Siuly, G.R. Sinha · 2020 · Institute of Physics eBooks
- Machine Learning of Schizophrenia Detection with Structural and Functional NeuroimagingDafa Shi, Yanfei Li, Haoran Zhang, Xiang Yao, Siyuan Wang, Guangsong Wang, Ke Ren · 2021 · Disease Markers
- Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar DisorderSophia Frangou, Danai Dima, Jigar Jogia · 2016 · NeuroImage
- Discovering Alzheimer's disease and bipolar disorder white matter effects building computer aided diagnostic systems on brain diffusion tensor imaging featuresAriadna Besga, Maite Termenón, Manuel Graña, J. Echeveste, J.M. Pérez, Ana María González-Pinto · 2012 · Neuroscience Letters
- Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine modelLaura Pina‐Camacho, Juan García-Prieto, Mara Parellada, Josefina Castro‐Fornieles, Ana María González-Pinto, Igor Bombín, Montserrat Graell, Beatriz Payá, Marta Rapado‐Castro, Joost Janssen et al. · 2014 · European Child & Adolescent Psychiatry
- Machine learning classifier using abnormal brain network topological metrics in major depressive disorderGuo, Hao, Cao, Xiaohua, Liu, Zhifen, Li, Haifang, Chen, Junjie, Zhang, Kerang · 2012 · NeuroReport
- Identifying ADHD children using hemodynamic responses during a working memory task measured by functional near-infrared spectroscopyYue Gu, Shuo Miao, Junxia Han, Zhenhu Liang, Gaoxiang Ouyang, Jian Yang, Xiaoli Li A · 2017 · Journal of Neural Engineering
- Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approachMutlu Mete, Ünal Sakoğlu, Jeffrey S. Spence, Michael D. Devous, Thomas S. Harris, Bryon H. Adinoff · 2016 · BMC Bioinformatics
- Transdiagnostic differences in the resting-state functional connectivity of the prefrontal cortex in depression and schizophreniaXi Chen, Chang Liu, Hui He, Xin Chang, Yuchao Jiang, Yingjia Li, Mingjun Duan, Jianfu Li, Cheng Luo, Dezhong Yao · 2017 · Journal of Affective Disorders
- Multiple functional networks modeling for autism spectrum disorder diagnosisTae‐Eui Kam, Heung‐Il Suk, Seong–Whan Lee · 2017 · Human Brain Mapping
- Multimodal MR Images-Based Diagnosis of Early Adolescent Attention-Deficit/Hyperactivity Disorder Using Multiple Kernel LearningXiaocheng Zhou, Qingmin Lin, Yuanyuan Gui, Zixin Wang, Manhua Liu, Hui Juan Lu · 2021 · Frontiers in Neuroscience
- Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autismSean Matlis, Katica Boric, Catherine J. Chu, Mark Kramer · 2015 · BMC Neurology
- Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activityHüseyin Öztoprak, Mehmet Toycan, Yaşar Kemal, Orhan Arıkan, Elvin Doğutepe, Sirel Karakaş · 2017 · Clinical Neurophysiology
- Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum DisorderZarina Rakhimberdina, Xin Liu, Tsuyoshi Murata · 2020 · Sensors
- Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approachLuca Lavagnino, Federico Amianto, Benson Mwangi, Federico D’Agata, Angela Valentina Spalatro, Giovana B. Zunta‐Soares, Giovanni Abbate Daga, Paolo Mortara, Secondo Fassino, Jair C. Soares · 2015 · Psychological Medicine
- Abnormalities in the effective connectivity of visuothalamic circuitry in schizophreniaSarina Jennifer Iwabuchi, Lena K. Palaniyappan · 2017 · Psychological Medicine
- Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning AnalysisEnzo Grossi, Giovanni Valbusa, Massimo Buscema · 2020 · Clinical EEG and Neuroscience
- Identification of psychopathic individuals using pattern classification of MRI imagesJoão Ricardo Sato, Ricardo de Oliveira‐Souza, Carlos Eduardo Thomaz, Rodrigo Basílio, Ivanei Edson Bramati, Edson Amaro, Fernanda Freire Tovar-Moll, Robert D. Hare, Jorge Moll · 2011 · Social Neuroscience
- Automated classification of fMRI during cognitive control identifies more severely disorganized subjects with schizophreniaJong H. Yoon, Danh V. Nguyen, Lindsey M. McVay, Paul J. Deramo, Michael Minzenberg, John Daniel Ragland, Tara A. Niendam, Marjorie Solomon, Cameron S. Carter · 2012 · Schizophrenia Research
- Predictive Neurofunctional Markers of Attention-Deficit/Hyperactivity Disorder Based on Pattern Classification of Temporal ProcessingHeledd C. Hart, André F. Marquand, Anna B Smith, Ana Cubillo, Andrew Simmons, Michael John Brammer, Katya Rubia · 2014 · Journal of the American Academy of Child & Adolescent Psychiatry
- Learning stable and predictive network-based patterns of schizophrenia and its clinical symptomsM. Gheiratmand, Irina Rish, Guillermo Cecchi, Matthew Robert Graham Brown, Russell Greiner, Pablo I. Polosecki, Pouya Bashivan, Andrew James Greenshaw, Rajamannar Ramasubbu, Serdar Murat Dursun · 2017 · Schizophrenia
- Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning ApproachYunkai Sun, Lei Zhao, Zhihui Lan, Xi-Ze Jia, Shao‐Wei Xue · 2020 · Neuropsychiatric Disease and Treatment
- Detecting Abnormal Brain Regions in Schizophrenia Using Structural MRI via Machine LearningZhihong Chen, Tao Yan, Er-Lei Wang, Hong Jiang, Yi-Qian Tang, Xi Yu, Jian Zhang, Chang Liu · 2020 · Computational Intelligence and Neuroscience
- Diagnosis of Schizophrenia Based on Deep Learning Using fMRIJinChi Zheng, Xiaolan Wei, JinYi Wang, Huasong Lin, HongRun Pan, YuQing Shi · 2021 · Computational and Mathematical Methods in Medicine
- Abnormal Fractional Amplitude of Low-Frequency Fluctuation as a Potential Imaging Biomarker for First-Episode Major Depressive Disorder: A Resting-State fMRI Study and Support Vector Machine AnalysisYujun Gao, Xi Wang, Zhenying Xiong, Hongwei Ren, Ruoshi Liu, Yafen Wei, Dongbin Li · 2021 · Frontiers in Neurology
- Structural Features Related to Affective Instability Correctly Classify Patients With Borderline Personality Disorder. A Supervised Machine Learning ApproachAlessandro Grecucci, Gaia Lapomarda, Irene Messina, Bianca Monachesi, Sara Sorella, Roma Šiugždaitė · 2022 · Frontiers in Psychiatry
- Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRIYoungoh Bae, Kunaraj Kumarasamy, Issa M. Ali, Panagiotis D. Korfiatis, Zeynettin Akkus, Bradley James Erickson · 2017 · Journal of Imaging Informatics in Medicine
- The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network ClusterXia-an Bi, Yingchao Liu, Qin Jiang, Shu Qing Ma, Qi Sun, Jianhua Dai · 2018 · Frontiers in Human Neuroscience
- Multivariate classification of drug-naive obsessive-compulsive disorder patients and healthy controls by applying an SVM to resting-state functional MRI dataXi Yang, Xinyu Hu, Wanjie Tang, Bin Li, Yanchun Yang, Qiyong Gong, Xiaoqi Huang · 2019 · BMC Psychiatry
- Multimodal Integration of Brain Images for MRI-Based Diagnosis in SchizophreniaRaymond M. Salvador, Erick Jorge Canales-Rodríguez, Amalia Guerrero‐Pedraza, Salvador Sarró, Diana Tordesillas‐Gutiérrez, Teresa Maristany, Benedicto Crespo‐Facorro, Peter J. McKenna, Edith Pomarol‐Clotet · 2019 · Frontiers in Neuroscience
- Identifying commonality and specificity across psychosis sub-groups via classification based on features from dynamic connectivity analysisYuhui Du, Hui Hao, Shuhua Wang, Godfrey D. Pearlson, Vince D. Calhoun · 2020 · NeuroImage Clinical
- Identification of autism spectrum disorder based on short-term spontaneous hemodynamic fluctuations using deep learning in a multi-layer neural networkLingyu Xu, Zhiyong Sun, Jiang Xie, Jie Yu, Jun Li, Jinhong Wang · 2020 · Clinical Neurophysiology
- Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance ImagingRowena Chin, Alex Xiaobin You, Fanwen Meng, Juan Helen Zhou, Kang Sim · 2018 · Scientific Reports
- Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorderE. Schwarz, N. T. Doan, G. Pergola, L. Westlye, T. Kaufmann, T. Wolfers, Ralph Brecheisen, T. Quarto, Alex Ing, P. Di Carlo et al. · 2019 · Translational Psychiatry
- Automatic classification of schizophrenia patients using resting-state EEG signalsHossein Najaf-Zadeh, Mahdad Esmaeili, Sara Farhang, Yashar Sarbaz, Seyed Hossein Rasta · 2021 · Physical and Engineering Sciences in Medicine
- Classification of Schizophrenia and Depression by EEG with ANNs*Yingjie Li, Fei-yan Fan · 2005
- Automated network analysis to measure brain effective connectivity estimated from EEG data of patients with alcoholismYoungoh Bae, Byeong Wook Yoo, Jung Chan Lee, Hee Chan Kim · 2017 · Physiological Measurement
- Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorderBun Yamagata, Takashi Itahashi, Junya Fujino, Haruhisa Ohta, Motoaki Nakamura, Nobumasa Kato, Masaru Mimura, Ryu-ichiro Hashimoto, Yuta Y. Aoki · 2018 · Brain Imaging and Behavior
- EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of DyslexiaFrancisco J. Martínez-Murcia, Andrés Ortíz, J. M. Górriz, Javier Ramı́rez, Pedro Javier López-Pérez, Miguel López‐Zamora, Juan Luis Luque · 2020 · International Journal of Neural Systems
- EEG Source Network for the Diagnosis of Schizophrenia and the Identification of Subtypes Based on Symptom Severity—A Machine Learning ApproachJeong-Youn Kim, Hyun Seo Lee, Seung‐Hwan Lee · 2020 · Journal of Clinical Medicine
- Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural NetworkMohammed Isam Al-Hiyali, Norashikin Yahya, Ibrahima Faye, Ahmed Faeq Hussein · 2021 · Sensors
- Altered anatomical patterns of depression in relation to antidepressant treatment: Evidence from a pattern recognition analysis on the topological organization of brain networksJiaolong Qin, Maobin Wei, Haiyan Liu, Jianhuai Chen, Rui Yan, Zhijian Yao, Qing Lü · 2015 · Journal of Affective Disorders
- Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural NetworksYunlong Xie, Banghua Yang, Xi Lu, Minmin Zheng, Cunxiu Fan, Xiaoying Bi, Shu Zhou, Yingjie Li · 2020 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Diagnosing autism spectrum disorder using brain entropy: A fast entropy methodLiangliang Zhang, Xun‐Heng Wang, Lihua Li · 2019 · Computer Methods and Programs in Biomedicine
- A robust DWT–CNN‐based CAD system for early diagnosis of autism using task‐based fMRIReem T. Haweel, Ahmed M. Shalaby, Ali H. Mahmoud, Noha AbdElSabour Seada, Said Ghoniemy, Mohammed Asaad Ghazal, Manuel Fernando Casanova, Gregory Neal Barnes, Ayman S El-Baz · 2020 · Medical Physics
- Aiding diagnosis of attention‐deficit/hyperactivity disorder and its subtypes: discriminant function analysis of event‐related potential dataJanette L. Smith, Stuart John Johnstone, Robert J. Barry · 2003 · Journal of Child Psychology and Psychiatry
- Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning ModelMing–Hsuan Yang, Menglin Cao, Yuhao Chen, Yanni Chen, Geng Fan, Chenxi Li, Jue Wang, Tian Liu · 2021 · Frontiers in Human Neuroscience
- Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism CohortAfrooz Jahedi, Chanond A. Nasamran, Brian Faires, Juanjuan Fan, Ralph‐Axel Müller · 2017 · Brain Connectivity
- Support Vector Machine Classification of Obsessive-Compulsive Disorder Based on Whole-Brain Volumetry and Diffusion Tensor ImagingCong Zhou, Yuqi Cheng, Liangliang Ping, Jian Xu, Zonglin Shen, Linling Jiang, Li Shi, Shuran Yang, Yi Lü, Xiufeng Xu · 2018 · Frontiers in Psychiatry
- Characterizing and Predicting Autism Spectrum Disorder by Performing Resting-State Functional Network Community Pattern AnalysisYuqing Song, Thomas Martial Epalle, Hu Lu · 2019 · Frontiers in Human Neuroscience
- Examining Bias and Reporting in Oral Health Prediction Modeling StudiesMi Du, Dandara Gabriela Haag, Youngha Song, John William Lynch, Murthy Mittinty · 2020 · Journal of Dental Research
- Effective Connectivity in Default Mode Network for Alcoholism DiagnosisDanish Mahmood Khan, Norashikin Yahya, Nidal Kamel, Ibrahima Faye · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
- An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological dataPengfei Ke, Dong-sheng Xiong, Jia-hui Li, Zhi-lin Pan, Jing Zhou, Shi-jia Li, Jie Song, Xiao-yi Chen, Gui-xiang Li, Jun Chen et al. · 2021 · Scientific Reports
- Task modulations and clinical manifestations in the brain functional connectome in 1615 fMRI datasetsTobias Kaufmann, Dag Alnæs, Christine Lycke Brandt, Nhat Trung Doan, Karolina Kauppi, Francesco Bettella, Trine Vik Lagerberg, Akiah Ottesen Berg, Srdjan Djurovic, Ingrid Agartz et al. · 2016 · NeuroImage
- Cross-network interaction for diagnosis of major depressive disorder based on resting state functional connectivityXueling Zhu, Fulai Yuan, Gaofeng Zhou, Jilin Nie, Dongcui Wang, Ping Hu, Lirong Ouyang, Lingyu Kong, Weihua Liao · 2020 · Brain Imaging and Behavior
- Decreased integration of the frontoparietal network during a working memory task in major depressive disorderWenjian Tan, Zhening Liu, Chang Xi, Mengjie Deng, Yicheng Long, Lena K. Palaniyappan, Jie Yang · 2020 · Australian & New Zealand Journal of Psychiatry
- The Utility of a Computerized Algorithm Based on a Multi-Domain Profile of Measures for the Diagnosis of Attention Deficit/Hyperactivity DisorderAlessandro Crippa, Christian Salvatore, Erika Molteni, Maddalena Mauri, Antonio Salandi, Sara Trabattoni, Carlo Virginio Agostoni, Massimo Molteni, Maria Nobile, Isabella Castiglioni · 2017 · Frontiers in Psychiatry
- Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG SignalsHongyi Zhang, Francisco H. S. Silva, Elene Firmeza Ohata, Aldísio G. Medeiros, Pedro P. Rebouças Filho · 2020 · Frontiers in Human Neuroscience
- An End-to-End Depression Recognition Method Based on EEGNetBo Liu, Hongli Chang, Kang Peng, Xuenan Wang · 2022 · Frontiers in Psychiatry
- The blessing of Dimensionality: Feature Selection outperforms functional connectivity-based feature transformation to classify ADHD subjects from EEG patterns of phase synchronisationErnesto Pereda, Miguel García-Torres, Belén Melián-Batista, Soledad Mañas, Leopoldo D. Méndez, Julián J. González · 2018 · PLoS ONE
- Diagnostic and Predictive Neuroimaging Biomarkers for Posttraumatic Stress DisorderSigal Zilcha‐Mano, Xi Zhu, Benjamin Suarez‐Jimenez, Alison M. Pickover, Shachaf Tal, Sara Such, Caroline Marohasy, Marika Chrisanthopoulos, Chloe Salzman, Amit Lazarov et al. · 2020 · Biological Psychiatry Cognitive Neuroscience and Neuroimaging
- Autism Spectrum Disorder and Childhood Apraxia of Speech: Early Language-Related Hallmarks across Structural MRI StudyEugenia Conti, Alessandra Retico, Letizia Palumbo, Giovanna Spera, Paolo Bosco, Laura Biagi, Simona Fiori, Michela Tosetti, Paola Cipriani, Giovanni Cioni et al. · 2020 · Journal of Personalized Medicine